Course Details

Module 1. Introduction of AI

What is Artificial Intelligence?
Why is Artificial Intelligence important?
Types of Artificial Intelligence?
Applications of AI
Future of AI
How to learn AI
AI vs machine learning vs deep learning

Module 2. Programming Basics

Introduction to Programming Languages
Types of Programming Languages
Flowchart
Algorithm

Module 3. Python for AI

Fundamentals of Python
Datatypes in Python
Operators in Python
Input/output
Control statements
NumPy arrays
Functions in Python
Modules and packages
Data analysis in Python using Pandas
Data visualization using Matplotlib
Data visualization using Seaborn

Module 4. Machine Learning in AI

Machine Learning in AI
Introduction to Machine Learning
Exploratory data analysis (EDA)
Outliers and their treatment
Supervised learning vs Unsupervised learning
Feature extraction and conversion
Regression models
Classification models
Unsupervised learning
Association rule learning
Model selection

Module 5. Deep Learning in AI

Deep Learning in AI
Introduction to Deep Learning
Activation functions
Creating neural network in Python
TensorFlow and Keras
ANN in TensorFlow and Keras
Convolutional neural network (CNN)
Recurrent neural network (RNN)

Module 6. natural language processing in AI (NLP)

NLP concepts
Feature extraction
Text classification using NLP

Module 7. Computer Vision in AI

Object detection by computer